@InProceedings{tsai-roth:2016:COLINGDEMO,
  author    = {Tsai, Chen-Tse  and  Roth, Dan},
  title     = {Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {146--150},
  abstract  = {We release a cross-lingual wikification system for all languages in Wikipedia.
	Given a piece of text in any supported language, the system identifies names of
	people, locations, organizations, and grounds these names to the corresponding
	English Wikipedia entries. The system is based on two components: a
	cross-lingual named entity recognition (NER) model and a cross-lingual mention
	grounding model. The cross-lingual NER model is a language-independent model
	which can extract named entity mentions in the text of any language in
	Wikipedia. The extracted mentions are then grounded to the English Wikipedia
	using the cross-lingual mention grounding model. The only resources required to
	train the proposed system are the multilingual Wikipedia dump and existing
	training data for English NER. The system is online at
	http://cogcomp.cs.illinois.edu/page/demo\_view/xl\_wikifier},
  url       = {http://aclweb.org/anthology/C16-2031}
}